Kosuke Iga

585 total citations
35 papers, 487 citations indexed

About

Kosuke Iga is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Kosuke Iga has authored 35 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Agronomy and Crop Science, 14 papers in Public Health, Environmental and Occupational Health and 11 papers in Reproductive Medicine. Recurrent topics in Kosuke Iga's work include Reproductive Physiology in Livestock (19 papers), Reproductive Biology and Fertility (14 papers) and Genetic and phenotypic traits in livestock (7 papers). Kosuke Iga is often cited by papers focused on Reproductive Physiology in Livestock (19 papers), Reproductive Biology and Fertility (14 papers) and Genetic and phenotypic traits in livestock (7 papers). Kosuke Iga collaborates with scholars based in Japan, United States and Egypt. Kosuke Iga's co-authors include Naoki Takenouchi, Yuji Hirao, Manabu Shimizu, Kiyoshi Okuda, Ryosuke Sakumoto, Takehiro Itoh, Hiroyoshi Hoshi, Masato Kobayashi, Keiichiro Kizaki and Yasuko Fujita and has published in prestigious journals such as Biochemical Journal, Biology of Reproduction and Theriogenology.

In The Last Decade

Kosuke Iga

32 papers receiving 475 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kosuke Iga Japan 13 281 212 165 138 101 35 487
Phillip J. Bridges United States 14 147 0.5× 131 0.6× 174 1.1× 90 0.7× 101 1.0× 34 458
Valério Marques Portela Brazil 13 268 1.0× 118 0.6× 152 0.9× 245 1.8× 70 0.7× 39 552
Wenxiang Luo United States 10 180 0.6× 84 0.4× 272 1.6× 67 0.5× 121 1.2× 21 497
Michele D. Calder Canada 16 424 1.5× 319 1.5× 273 1.7× 256 1.9× 136 1.3× 29 789
Marion Spitschak Germany 12 165 0.6× 70 0.3× 138 0.8× 113 0.8× 67 0.7× 20 372
JK Findlay Australia 11 158 0.6× 92 0.4× 194 1.2× 95 0.7× 97 1.0× 20 457
Ken‐Go Hayashi Japan 14 196 0.7× 111 0.5× 389 2.4× 108 0.8× 143 1.4× 34 616
L. Gabriel Sanchez‐Partida Australia 16 413 1.5× 482 2.3× 93 0.6× 224 1.6× 30 0.3× 20 729
Kalidou Ndiaye Canada 11 115 0.4× 54 0.3× 93 0.6× 96 0.7× 87 0.9× 21 371
Marta de Ruijter‐Villani Netherlands 14 218 0.8× 61 0.3× 248 1.5× 80 0.6× 94 0.9× 39 434

Countries citing papers authored by Kosuke Iga

Since Specialization
Citations

This map shows the geographic impact of Kosuke Iga's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kosuke Iga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Iga more than expected).

Fields of papers citing papers by Kosuke Iga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kosuke Iga. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kosuke Iga. The network helps show where Kosuke Iga may publish in the future.

Co-authorship network of co-authors of Kosuke Iga

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Iga. A scholar is included among the top collaborators of Kosuke Iga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kosuke Iga. Kosuke Iga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ishiguro‐Oonuma, Toshina, et al.. (2024). Potential of Circulating miRNA Biomarkers and Exosomes for Early Pregnancy Diagnoses in Cattle. Animals. 14(11). 1592–1592.
2.
3.
4.
Ono, K., et al.. (2021). Analysis of circulating microRNA during early gestation in Japanese black cattle. Domestic Animal Endocrinology. 79. 106706–106706. 5 indexed citations
5.
Kizaki, Keiichiro, Kosuke Iga, Hideo Matsuda, et al.. (2020). Use of a prediction method for early pregnancy status utilizing receiver operating characteristic curve analysis of peripheral blood leukocyte interferon-stimulated genes in Japanese-Black cattle. Animal Reproduction Science. 214. 106283–106283. 8 indexed citations
6.
Sakumoto, Ryosuke, et al.. (2018). Gene expression of CCL8 and CXCL10 in peripheral blood leukocytes during early pregnancy in cows. Journal of Animal Science and Biotechnology. 9(1). 46–46. 13 indexed citations
7.
8.
Sakurai, Toshihiro, So Nakagawa, Hanako Bai, et al.. (2017). Novel endogenous retrovirus-derived transcript expressed in the bovine placenta is regulated by WNT signaling. Biochemical Journal. 474(20). 3499–3512. 8 indexed citations
9.
Iga, Kosuke, Naoki Takenouchi, Manabu Shimizu, & Yuji Hirao. (2016). Possibility of Diagnosing Uterine Function in Cows. Japan Agricultural Research Quarterly JARQ. 50(2). 115–119.
10.
Sakumoto, Ryosuke, et al.. (2014). Gene expression profiles in the bovine corpus luteum (CL) during the estrous cycle and pregnancy: Possible roles of chemokines in regulating CL function during pregnancy. Journal of Reproduction and Development. 61(1). 42–48. 18 indexed citations
11.
Hirao, Yuji, Masahiro Kaneda, T. Somfai, et al.. (2013). Production of Fertile Offspring from Oocytes Grown In Vitro by Nuclear Transfer in Cattle1. Biology of Reproduction. 89(3). 57–57. 21 indexed citations
12.
Hirao, Yuji, Manabu Shimizu, Kosuke Iga, & Naoki Takenouchi. (2012). Optimization of Oxygen Concentration for Growing Bovine Oocytes <i>In Vitro</i>: Constant Low and High Oxygen Concentrations Compromise the Yield of Fully Grown Oocytes. Journal of Reproduction and Development. 58(2). 204–211. 20 indexed citations
13.
Hirao, Yuji, et al.. (2011). Effect of androstenedione on the growth and meiotic competence of bovine oocytes from early antral follicles. Zygote. 20(4). 407–415. 19 indexed citations
14.
Kizaki, Keiichiro, et al.. (2010). Active Roles of Heparin-Binding EGF-Like Growth Factor and Its Receptor in Bovine Endometrium During Implantation.. Biology of Reproduction. 83(Suppl_1). 459–459. 1 indexed citations
15.
Mikawa, Satoshi, Hisashi Kishi, Hidehiko Ogawa, et al.. (2005). Analysis of recessive lethality on swine chromosome 6 in a Göttingen miniature resource family. Animal Genetics. 36(5). 376–380. 1 indexed citations
16.
Hirao, Yuji, Takehiro Itoh, Manabu Shimizu, et al.. (2004). In Vitro Growth and Development of Bovine Oocyte-Granulosa Cell Complexes on the Flat Substratum: Effects of High Polyvinylpyrrolidone Concentration in Culture Medium1. Biology of Reproduction. 70(1). 83–91. 112 indexed citations
17.
Hirao, Y., Kosuke Iga, Naoki Takenouchi, et al.. (2002). In vitro maturation and glutathione synthesis of porcine oocytes in the presence or absence of cysteamine under different oxygen tensions: role of cumulus cells. Reproduction Fertility and Development. 14(3). 125–131. 35 indexed citations
18.
Sakumoto, Ryosuke, Shuko Murakami, Hisashi Kishi, et al.. (2000). Tumor necrosis factor-α and its receptor in the corpus luteum of pregnant cows. Molecular Reproduction and Development. 55(4). 406–406. 2 indexed citations
19.
Iga, Kosuke, et al.. (1997). Exposure of bovine oocytes to EGF during maturation allows them to develop to blastocysts in a chemically-defined medium. Theriogenology. 48(7). 1127–1135. 25 indexed citations
20.
Okuda, Kiyoshi, et al.. (1997). Functional Oxytocin Receptors in Bovine Granulosa Cells1. Biology of Reproduction. 56(3). 625–631. 47 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Phillip J. Bridges Breakdown of academic impact, for papers by Valério Marques Portela Breakdown of academic impact, for papers by Wenxiang Luo Breakdown of academic impact, for papers by Michele D. Calder Breakdown of academic impact, for papers by Marion Spitschak Breakdown of academic impact, for papers by JK Findlay Breakdown of academic impact, for papers by Ken‐Go Hayashi Breakdown of academic impact, for papers by L. Gabriel Sanchez‐Partida Breakdown of academic impact, for papers by Kalidou Ndiaye Breakdown of academic impact, for papers by Marta de Ruijter‐Villani
Rankless by CCL
2026